NTUA-SLP at IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification. - Alexandra Chronopoulou; Aikaterini Margatina; Christos Baziotis; Alexandros Potamianos (WASSA@EMNLP, 2018)

Attention-based Conditioning Methods for External Knowledge Integration. - Katerina Margatina; Christos Baziotis; Alexandros Potamianos (ACL (1), 2019)

Domain Adversarial Fine-Tuning as an Effective Regularizer. - Giorgos Vernikos; Katerina Margatina; Alexandra Chronopoulou; Ion Androutsopoulos (EMNLP (Findings), 2020)

Active Learning by Acquiring Contrastive Examples. - Katerina Margatina; Giorgos Vernikos; Loïc Barrault; Nikolaos Aletras (EMNLP (1), 2021)

Frustratingly Simple Pretraining Alternatives to Masked Language Modeling. - Atsuki Yamaguchi; George Chrysostomou; Katerina Margatina; Nikolaos Aletras (EMNLP (1), 2021)

Bayesian Active Learning with Pretrained Language Models. - Katerina Margatina; Loïc Barrault; Nikolaos Aletras (CoRR, 2021)

Challenges and Strategies in Cross-Cultural NLP. - Daniel Hershcovich; Stella Frank; Heather C. Lent; Miryam de Lhoneux; Mostafa Abdou; Stephanie Brandl; Emanuele Bugliarello; Laura Cabello Piqueras; Ilias Chalkidis; Ruixiang Cui; Constanza Fierro; Katerina Margatina; et al. (ACL (1), 2022)

On the Importance of Effectively Adapting Pretrained Language Models for Active Learning. - Katerina Margatina; Loïc Barrault; Nikolaos Aletras (ACL (2), 2022)

On the Limitations of Simulating Active Learning. - Katerina Margatina; Nikolaos Aletras (ACL (Findings), 2023)

Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views. - Katerina Margatina; Shuai Wang; Yogarshi Vyas; Neha Anna John; Yassine Benajiba; Miguel Ballesteros (EACL, 2023)

Investigating Multi-source Active Learning for Natural Language Inference. - Ard Snijders; Douwe Kiela; Katerina Margatina (EACL, 2023)

Understanding the Role of Input Token Characters in Language Models: How Does Information Loss Affect Performance? - Ahmed Alajrami; Katerina Margatina; Nikolaos Aletras (EMNLP, 2023)

Active Learning Principles for In-Context Learning with Large Language Models. - Katerina Margatina; Timo Schick; Nikolaos Aletras; Jane Dwivedi-Yu (EMNLP (Findings), 2023)

The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models. - Hannah Rose Kirk; Alexander Whitefield; Paul Röttger; Andrew M. Bean; Katerina Margatina; Rafael Mosquera Gómez; Juan Ciro; Max Bartolo; Adina Williams; He He 001; Bertie Vidgen; Scott Hale (NeurIPS, 2024)

The PRISM Alignment Project: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models. - Hannah Rose Kirk; Alexander Whitefield; Paul Röttger; Andrew M. Bean; Katerina Margatina; Juan Ciro; Rafael Mosquera; Max Bartolo; Adina Williams; He He 001; Bertie Vidgen; Scott A. Hale (CoRR, 2024)

CONFETTI: Conversational Function-Calling Evaluation Through Turn-Level Interactions. - Tamer Alkhouli; Katerina Margatina; James Gung; Raphael Shu; Claudia Zaghi; Monica Sunkara; Yi Zhang 001 (ACL (1), 2025)

A Study on Leveraging Search and Self-Feedback for Agent Reasoning. - Karthikeyan K; Michelle Yuan; Elman Mansimov; Katerina Margatina; Anurag Pratik; Daniele Bonadiman; Monica Sunkara; Yi Zhang 001; Yassine Benajiba (CoRR, 2025)